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Controls Engineer: Power Generation

OpenAI · US - Remote

Frontier labremoteSenior$177k–$285k
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At a glance

Highlights

  • Design automation for on-site power generation for large AI data center campuses.
  • Own controls from concept through factory testing to commissioning and tuning.
  • Integrate generation, microgrid controls, and data center monitoring at scale.

What they offer

  • Equity

Ideal candidate

Experienced controls engineer from power generation or mission-critical plants who thrives owning complex integration from design through commissioning and turning field lessons into reusable standards.

Requirements

  • 8+ years of controls, automation, or instrumentation engineering in power generation, industrial plants, utilities, or mission-critical infrastructure
  • Strong experience with PLC, DCS, SCADA, historian, industrial networking, and control-system integration
  • Knowledge of generation controls, synchronization, load sharing, protective interfaces, process control, and safety interlocks
  • Experience developing functional specifications, sequences, I/O, alarms, graphics, and factory or site test procedures
  • Ability to troubleshoot across software, instrumentation, electrical, mechanical, communications, and process boundaries
  • Understanding of industrial cybersecurity, redundancy, failover, and change-control practices
  • Bachelor's degree in controls, electrical, mechanical, chemical, computer engineering, or related field

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗

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